Correspondence Analysis in R, with Two- and Three-dimensional Graphics: The ca Package. We describe an implementation of simple, multiple and joint correspondence analysis in R. The resulting package comprises two parts, one for simple correspondence analysis and one for multiple and joint correspondence analysis. Within each part, functions for computation, summaries and visualization in two and three dimensions are provided, including options to display supplementary points and perform subset analyses. Special emphasis has been put on the visualization functions that offer features such as different scaling options for biplots and three-dimensional maps using the rgl package. Graphical options include shading and sizing plot symbols for the points according to their contributions to the map and masses respectively.

References in zbMATH (referenced in 15 articles , 1 standard article )

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  1. Abdi, Hervé; Beaton, Derek: Principal component and correspondence analyses using R (to appear) (2018)
  2. Greenacre, Michael: Correspondence analysis in practice (2017)
  3. Ranalli, Monia; Rocci, Roberto: A model-based approach to simultaneous clustering and dimensional reduction of ordinal data (2017)
  4. D’Enza, Alfonso Iodice; Markos, Angelos: Low-dimensional tracking of association structures in categorical data (2015)
  5. Gianmarco Alberti: CAinterprTools: An R package to help interpreting Correspondence Analysis’ results (2015)
  6. D’enza, Alfonso Iodice; Greenacre, Michael: Multiple correspondence analysis for the quantification and visualization of large categorical data sets (2012) ioport
  7. Aşan, Zerrin; Greenacre, Michael: Biplots of fuzzy coded data (2011) ioport
  8. Greenacre, Michael: Power transformations in correspondence analysis (2009)
  9. Greenacre, Michael; Lewi, Paul: Distributional equivalence and subcompositional coherence in the analysis of compositional data, contingency tables and ratio-scale measurements (2009)
  10. Jan de Leeuw; Patrick Mair: Gifi Methods for Optimal Scaling in R: The Package homals (2009)
  11. Jan de Leeuw; Patrick Mair: Simple and Canonical Correspondence Analysis Using the R Package anacor (2009)
  12. Urbano Lorenzo-Seva; Michel van de Velden; Henk Kiers: CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations (2009)
  13. Greenacre, Michael: Correspondence analysis in practice. (2007)
  14. Jan de Leeuw; Patrick Mair: An Introduction to the Special Volume on ”Psychometrics in R” (2007)
  15. Oleg Nenadic; Michael Greenacre: Correspondence Analysis in R, with Two- and Three-dimensional Graphics: The ca Package (2007)